School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.
School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, People's Republic of China.
Sci Rep. 2022 May 21;12(1):8601. doi: 10.1038/s41598-022-12525-6.
Plenty of empirical evidence on biological swarms reveal that interaction between individuals is selective. Each individual's neighbor is selected based on one or more featured factors. Based on the self-propelled model, we develop a general probability neighbor selection framework to study the effect of four typical featured factors (i.e., distance, bearing, orientation change and bearing change). In this work, two common cases are involved to comprehensively analyze the impact of the four featured factors on the collective motion. One is the flocking, the other is the responsivity to stimulus. The impact of different selection strengths of the featured factors on both cases are investigated. The effect of noise on flocking and different stimulus intensities on responsivity to stimulus are analyzed. This study allows us to get the insight of selective interaction and suggests the potential solution to overcome the trade-off between flocking and responsivity quality.
大量关于生物群体的实证研究表明，个体之间的相互作用是有选择性的。每个个体的邻居是根据一个或多个特征因素选择的。基于自主推进模型，我们开发了一个通用的概率邻居选择框架来研究四种典型特征因素（即距离、方位、方位变化和方位变化）的影响。在这项工作中，涉及到两种常见情况，以全面分析四个特征因素对集体运动的影响。一种是聚集，另一种是对刺激的反应。研究了不同特征因素选择强度对这两种情况的影响。分析了噪声对聚集的影响和不同刺激强度对刺激反应的影响。这项研究使我们能够深入了解选择性相互作用，并为克服聚集和反应质量之间的权衡提供了潜在的解决方案。
